Evidence map›Paper›PMID 35416505›Full record

ArticleAnalytical and bioanalytical chemistry2022

A single tick screening for infectious pathogens using targeted mass spectrometry.

Holly R Smith, Emily H Canessa, Runia Roy, Rita Spathis, Michel Shamoon Pour, Yetrib Hathout

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 47% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Update on tick-borne pathogens detection methods within ticks.Current research in parasitology & vector-borne diseases · 2024
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Holly R SmithDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, SUNY Binghamton University, Binghamton, NY, USA.
Emily H CanessaDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, SUNY Binghamton University, Binghamton, NY, USA.
Runia RoyDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, SUNY Binghamton University, Binghamton, NY, USA.
Rita SpathisDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, SUNY Binghamton University, Binghamton, NY, USA.
Michel Shamoon PourDepartment of Molecular & Biomedical Anthropology, SUNY Binghamton University, Binghamton, NY, USA.
Yetrib HathoutDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, SUNY Binghamton University, Binghamton, NY, USA. yhathout@binghamton.edu.
Binghamton University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The black-legged tick, Ixodes scapularis, is a well-known vector for the Lyme disease-causing pathogen (Borrelia burgdorferi) but can also carry other disease-causing pathogens such as Rickettsia, Anaplasma, Bartonella, Ehrlichia, and Theileria. Hence, tick screening using highly specific protein signatures for specific pathogens will help assess the prevalence of infected ticks and understand the pathogen-tick interactions in a specific geographic area. In this study, we used data-dependent acquisition to key pathogen protein signatures in black-legged ticks collected from the Southern Tier New York. Bottom-up proteomic analysis of extract from five combined ticks identified 2,052 tick proteins and 41 pathogen proteins with high confidence (≥ 99% C.I.). Results show high peptide spectral match counts for Rickettsia species and Borrelia species and lower counts for other rarer pathogens such as Anaplasma phagocytophilum. Parallel reaction monitoring performed on protein extracts from individual ticks (n = 10) revealed that 8 out of the 10 screened ticks carried Rickettsia species, 5 carried Borrelia species, 3 carried both pathogens, and only 1 tick carried no detectable bacteria. Mass spectrometry-based proteomics is a highly specific way to define the expression of different types of pathogen proteins in infected ticks. This might bring insights into the tick-pathogen interactions at the molecular level and especially expression pathogen surface proteins in ticks.

Indexed as

BorreliaIxodesRickettsiaAnimalsMass SpectrometryProteomicsBorreliaLyme diseaseMass spectrometryProteomicsRickettsiaTicks

Identifiers

PMID35416505
OpenAlexW4223590252

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.